Dental Providers’ Perspectives on Diagnosis-Driven Dentistry: Strategies to Enhance Adoption of Dental Diagnostic Terminology

Introduction A playful competition was launched in a primary dental health care system to improve the recording of diagnoses into an electronic patient chart system and to study what diagnoses were used in primary dental care. Methods This was a longitudinal follow-up study with public sector primary dental care practices in a Finnish city. A one-year-lasting playful competition between the dental care teams was launched and the monthly percentage of dentists' visits with recorded diagnosis before, during, and after the intervention was recorded. The assessed diagnoses were recorded with the International Classification of Diseases (ICD-10). Results Before the competition, the level of diagnosis recordings was practically zero. At the end of this intervention, about 25% of the visits had a recorded diagnosis. Two years after the competition, this percentage was 35% without any additional measures. The most frequent diagnoses were dental caries (K02, 38.6%), other diseases of hard tissues of teeth (K03, 14.8%), and diseases of pulp and periapical tissues (K04, 11.4%). Conclusions Commitment to the idea that recording of diagnoses was beneficial improved the recording of dental diagnoses. However, the diagnoses obtained did not accurately reflect the reputed prevalence of oral diseases in the Finnish population.

Objectives This study investigates which oral diagnoses public primary dental care dentists record. Methods An observational register‐based retrospective follow‐up study was performed in the public primary oral health care of a Finnish town after the dentists were advised to mark the diagnoses in their practices. The rate of recorded diagnoses resulting from visits to the public primary care dentists was studied. The assessed diagnoses were recorded with the 10th revision of the International Classification of Diseases. The distribution of diagnoses was recorded during a 2‐year follow‐up period. Results The most frequent diagnosis groups were dental caries (K02, 38.6%), other diseases of dental hard tissues (K03, 14.9%), diseases of pulp and periapical tissues (K04, 11.4%), periodontal diseases (K05, 9.7%), and different types of bone fractures (S02, 8.1%). Periodontitis was underrepresented. Conclusions In public primary oral health care, there may be difficulties in adequate recording of certain chronic diseases.

Population-based linkage of patient-level information opens new strategies for dental research to identify unknown correlations of diseases, prognostic factors, novel treatment concepts and evaluate healthcare systems. As clinical trials have become more complex and inefficient, register-based controlled (clinical) trials (RC(C)T) are a promising approach in dental research. RC(C)Ts provide comprehensive information on hard-to-reach populations, allow observations with minimal loss to follow-up, but require large sample sizes with generating high level of external validity. Collecting data is only valuable if this is done systematically according to harmonized and inter-linkable standards involving a universally accepted general patient consent. Secure data anonymization is crucial, but potential re-identification of individuals poses several challenges. Population-based linkage of big data is a game changer for epidemiological surveys in Public Health and will play a predominant role in future dental research by influencing healthcare services, research, education, biotechnology, insurance, social policy and governmental affairs.